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Articles July 2021

Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence Images

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Janan Arslan; Gihan Samarasinghe; Arcot Sowmya; Kurt K. Benke; Lauren A. B. Hodgson; Robyn H. Guymer; Paul N. Baird
TAGS: atrophy, deep learning, fundus autofluorescence imaging, training, pixel
Trans. Vis. Sci. Tech.. 2021; 10(8):2. doi: https://doi.org/10.1167/tvst.10.8.2

ARVO Annual Meeting Abstract June 2021

Novel, high-performance machine learning model for detection of subclinical keratoconus

Ke Cao; Karin Verspoor; Elsie Chan; Mark Daniell; Srujana Sahebjada; Paul N Baird

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2157. doi:

ARVO Annual Meeting Abstract June 2021

The ARMS2 insertion/deletion leads to systemic upregulation of secreted HTRA1 levels in the blood in AMD patients

Yang Pan; Akiko Suga; Toru Noda; Inderjeet Kaur; Taraprasad Das; Subhabrata Chakrabarti; Robyn H Guymer; Margaret M DeAngelis; Paul N Baird; Takeshi Iwata

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):253. doi:

Articles May 2021

Model Structure Uncertainty in the Characterization and Growth of Geographic Atrophy

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Janan Arslan; Kurt K. Benke; Gihan Samarasinghe; Arcot Sowmya; Robyn H. Guymer; Paul N. Baird
TAGS: atrophy, regression analysis, eye, surgical instruments
Trans. Vis. Sci. Tech.. 2021; 10(6):2. doi: https://doi.org/10.1167/tvst.10.6.2

Includes: Supplemental Content

Special Issue October 2020

Artificial Intelligence Algorithms for Analysis of Geographic Atrophy: A Review and Evaluation

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Janan Arslan; Gihan Samarasinghe; Kurt K. Benke; Arcot Sowmya; Zhichao Wu; Robyn H. Guymer; Paul N. Baird
TAGS: artificial intelligence, atrophy, diagnostic imaging, datasets, vision
Trans. Vis. Sci. Tech.. 2020; 9(2):57. doi: https://doi.org/10.1167/tvst.9.2.57

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2020

Understanding the uncertainties in modelling the growth of geographic atrophy in age-related macular degeneration

Janan Arslan; Kurt K Benke; Robyn H Guymer; Paul N Baird

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2986. doi:

Special Issue April 2020

Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus

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Ke Cao; Karin Verspoor; Srujana Sahebjada; Paul N. Baird
TAGS: keratoconus, machine learning, eye
Trans. Vis. Sci. Tech.. 2020; 9(2):24. doi: https://doi.org/10.1167/tvst.9.2.24

ARVO Annual Meeting Abstract July 2019

Genome-wide association study on a large multi-ethnic sample identifies new genetic loci that predispose to keratoconus

Alison J Hardcastle; Pirro G Hysi; Karla Rojas-Lopez; Petra Liskova; Alice E Davidson; Manir Ali; Kathryn P Burdon; David O'Brart; Chris Inglehearn; Paul N Baird; Christopher J Hammond; Stephen J Tuft

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4249. doi:

ARVO Annual Meeting Abstract July 2019

Assessment of clinical parameters by ethnicity in patients with keratoconus: a multi-country study.

Srujana Sahebjada; Elsie Chan; Myra McGuinness; Christopher Hodge; Calvin C P Pang; Govindasamy Kumaramanickavel; Gerard Sutton; Mark Daniell; Paul N Baird

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):321. doi:

ARVO Annual Meeting Abstract July 2018

Economic impact of Keratoconus -a patient’s perspective

Srujana Sahebjada; Elsie Chan; Sara Vogrin; Vijaya Sundararajan; Mark Daniell; Paul N. Baird

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4399. doi:

ARVO Annual Meeting Abstract July 2018

A genome-wide association study for keratoconus identifies novel risk loci

Kathryn P Burdon; Bennet McComish; Paul N. Baird; Yelena Bykhovskaya; Andrea Richardson-Wynd; Colin E Willoughby; Xiaohui Li; Srujana Sahebjada; Stuart MacGregor; Sionne Lucas; Jerome I Rotter; Richard A Mills; Alex W. Hewitt; Yaron Rabinowitz; Jamie E. Craig

Invest. Ophthalmol. Vis. Sci.. 2018; 59(9):4470. doi:

Biochemistry and Molecular Biology March 2018

Gene Expression and Pathways Underlying Form Deprivation Myopia in the Guinea Pig Sclera

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Nethrajeith Srinivasalu; Sally A. McFadden; Callan Medcalf; Lena Fuchs; Jessica Chung; Gayle Philip; Andrea Richardson; Moeen Riaz; Paul N. Baird
TAGS: eye, gene expression, guinea, myopia, sclera, genes, polymerase chain reaction
Invest. Ophthalmol. Vis. Sci.. 2018; 59(3):1425-1434. doi: https://doi.org/10.1167/iovs.16-21278

Includes: Supplemental Content

Genetics August 2017

Joint Analysis of Nuclear and Mitochondrial Variants in Age-Related Macular Degeneration Identifies Novel Loci TRPM1 and ABHD2/RLBP1

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Patrice J. Persad; Iris M. Heid; Daniel E. Weeks; Paul N. Baird; Eiko K. de Jong; Jonathan L. Haines; Margaret A. Pericak-Vance; William K. Scott; for the International Age-Related Macular Degeneration Genomics Consortium (IAMDGC)
TAGS: age-related macular degeneration, datasets, genome, mitochondria, significance, single nucleotide polymorphism, chromosomes, human, pair 15, genetics
Invest. Ophthalmol. Vis. Sci.. 2017; 58(10):4027-4038. doi: https://doi.org/10.1167/iovs.17-21734

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2017

Whole Exome sequencing to identify the pharmacogenetic basis of retinal fluid clearance in anti-VEGF treated AMD

Paul N Baird; Moeen Riaz; Andrea J. Richardson; Thanh Nguyen; Shilpa Taori; Chiea Chuen Khor; Robyn H Guymer

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1201. doi:

ARVO Annual Meeting Abstract June 2017

Identification of a Novel Variant Associated with anti-VEGF Response in Age-related Macular Degeneration Using Exome Chip Analysis

Michelle Grunin; Laura Lorés-Motta; Moeen Riaz; Jordi Corominas; Andrea J. Richardson; Sascha Fauser; Robyn H Guymer; Eiko de Jong; Iris M Heid; Carel C B Hoyng; Andrew J Lotery; Paul Mitchell; Paul N Baird; Anneke I Den Hollander; Itay Chowers

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):1840. doi:

ARVO Annual Meeting Abstract June 2017

International networks in eye disease - the Asian Eye Genetics Consortium (AEGC)

Takeshi Iwata; Gyan Prakash; Paul N Baird; S Natarajan

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2751. doi:

ARVO Annual Meeting Abstract September 2016

Age-related macular degeneration displays shortened telomere length indicating differential biological aging

Robert Patrick Finger; Bethany Stavert; Scott Booth; Andrea Richardson; Myra McGuinness; Srujana Sahebjada; Fadi Charchar; Robyn H Guymer; Paul N Baird

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12) doi:

ARVO Annual Meeting Abstract September 2016

Pooled GWAS identifies a novel gene: OR52B4 influencing anti-VEGF treatment response in Age related macular degeneration

Moeen Riaz; Laura Lorés de Motta; Andrea J. Richardson; Yi Lu; Grant Montgomery; Eiko de Jong; Carel C B Hoyng; Ttuart Macgregor; Robyn H Guymer; Anneke I Den Hollander; Paul N Baird

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):2640. doi:

ARVO Annual Meeting Abstract September 2016

Loss of P2X7 receptor function increases the risk of age related macular degeneration: Investigation of human genetics and mouse models

Kirstan Anne Vessey; Ben J Gu; James S Wiley; Paul N Baird; Robyn H Guymer; Erica L Fletcher

Invest. Ophthalmol. Vis. Sci.. 2016; 57(12):6561. doi:

Retina March 2016

Reticular Pseudodrusen in Intermediate Age-Related Macular Degeneration: Prevalence, Detection, Clinical, Environmental, and Genetic Associations

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Zhichao Wu; Lauren N. Ayton; Chi D. Luu; Paul N. Baird; Robyn H. Guymer
TAGS: age-related macular degeneration, diagnostic imaging, drusen, eye, genetics, prevalence, atrophic condition of skin, demography, atrophy
Invest. Ophthalmol. Vis. Sci.. 2016; 57(3):1310-1316. doi: https://doi.org/10.1167/iovs.15-18682

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Deep Learning Applied to Automated Segmentation of Geographic Atrophy in Fundus Autofluorescence Images

Novel, high-performance machine learning model for detection of subclinical keratoconus

The ARMS2 insertion/deletion leads to systemic upregulation of secreted HTRA1 levels in the blood in AMD patients

Model Structure Uncertainty in the Characterization and Growth of Geographic Atrophy

Artificial Intelligence Algorithms for Analysis of Geographic Atrophy: A Review and Evaluation

Understanding the uncertainties in modelling the growth of geographic atrophy in age-related macular degeneration

Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus

Genome-wide association study on a large multi-ethnic sample identifies new genetic loci that predispose to keratoconus

Assessment of clinical parameters by ethnicity in patients with keratoconus: a multi-country study.

Economic impact of Keratoconus -a patient’s perspective

A genome-wide association study for keratoconus identifies novel risk loci

Gene Expression and Pathways Underlying Form Deprivation Myopia in the Guinea Pig Sclera

Joint Analysis of Nuclear and Mitochondrial Variants in Age-Related Macular Degeneration Identifies Novel Loci TRPM1 and ABHD2/RLBP1

Whole Exome sequencing to identify the pharmacogenetic basis of retinal fluid clearance in anti-VEGF treated AMD

Identification of a Novel Variant Associated with anti-VEGF Response in Age-related Macular Degeneration Using Exome Chip Analysis

International networks in eye disease - the Asian Eye Genetics Consortium (AEGC)

Age-related macular degeneration displays shortened telomere length indicating differential biological aging

Pooled GWAS identifies a novel gene: OR52B4 influencing anti-VEGF treatment response in Age related macular degeneration

Loss of P2X7 receptor function increases the risk of age related macular degeneration: Investigation of human genetics and mouse models

Reticular Pseudodrusen in Intermediate Age-Related Macular Degeneration: Prevalence, Detection, Clinical, Environmental, and Genetic Associations

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